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By 2006, Wikipedia had achieved the type of success that only a handful of young organizations could ever dream of reaching. It had grown from almost nothing in 2001 to become one of the consistently highest ranked and most visited sites on the Internet. This success brought new problems at a scale that no organization of this type had ever before faced. Exposes students to Wikipedia's brief history, the causes of its success, and the issues it faced going forward. Two topics form the focus: The first concerns the rules and norms for submission and editing, which raise questions about the ambiguity of Wikipedia's authority and the virtual cycle that keeps the site going; The second concerns the need to alter its practices as it gains in popularity, raising questions about what any wiki site, profit-oriented or open source, must do to scale to large numbers of participants and entries. These issues arise as part of a discussion about the site's priorities going forward.

To teach the factors that shape Wikipedia and wikis in general. Students will become familiar with the internal operations of wikis, open-source programs for developing text from many users. Also to facilitate teaching about factors that shape reference sites on the Internet, dividing discussion into three sub-topics: defining what Wikipedia is and what it is not, analyzing how it works, and understanding why it generates controversy in some circles.

This case is designed to enable students to understand the role of women in artificial intelligence (AI); understand the importance of ethics and diversity in the AI field; discuss the ethical issues of AI; study the implications of unethical AI; examine the dark side of corporate-backed AI research and the difficult relationship between corporate interests and AI ethics research; understand the role played by Gebru in promoting diversity and ethics in AI; and explore how Gebru can attract more women researchers in AI and lead the movement toward inclusive and equitable technology.

The case discusses how Timnit Gebru (She), a prominent AI researcher and former co-lead of the Ethical AI research team at Google, is leading the way in promoting diversity, inclusion and ethics in AI. Gebru, one of the most high-profile black women researchers, is an influential voice in the emerging field of ethical AI, which identifies issues based on bias, fairness, and responsibility. Gebru was fired from Google in December 2020 after the company asked her to retract a research paper she had co-authored about the pitfalls of large language models and embedded racial and gender bias in AI. While Google maintained that Gebru had resigned, she said she had been fired from her job after she had raised issues of discrimination in the workplace and drawn attention to bias in AI. In early December 2021, a year after being ousted from Google, Gebru launched an independent community-driven AI research organization called Distributed Artificial Intelligence Research (DAIR) to develop ethical AI, counter the influence of Big Tech in research and development of AI and increase the presence and inclusion of black researchers in the field of AI. The case discusses Gebru’s journey in creating DAIR, the goals of the organization and some of the challenges she could face along the way. As Gebru seeks to increase diversity in the field of AI and reduce the negative impacts of bias in the training data used in AI models, the challenges before her would be to develop a sustainable revenue model for DAIR, influence AI policies and practices inside Big Tech companies from the outside, inspire and encourage more women to enter the AI field and build a decentralized base of AI expertise.

This case is meant for MBA students.

Teaching Notes are available for educators only.

CCS 11: Strategy

Judy was a high-performing professional manager who was with her company for 15 years and was a manager for six. She was a confident, positive, and happy person but recently lost her confidence in herself and her abilities. She dreaded going to work because she never knew what she would face from her boss, Dennis. Dennis was a brilliant man who was recently promoted to Senior V.P. He was condescending, and he humiliated people in public. Complaints to the CEO and a harassment claim produced no results. Dennis did the CEO's dirty work and served a role needed in a fast-paced and profit-driven corporate culture. Judy enrolled in an MBA program to build her resume and her self-confidence. She faced a critical juncture in her career. Should she quit, transfer, complain to HR, or confront Dennis?